generalizable

简明释义

英[/ˈdʒɛnəraɪzəbl/]美[/ˈdʒɛnəraɪzəbl/]

adj. 可归纳的；可概括的

英英释义

单词用法

同义词

反义词

例句

1.The purpose of this study design was to provide results that would be more generalizable to the population suffering from chronic fatigue syndrome.

本研究的目的设计，是提供成果将更为普及，以人口患有慢性疲劳综合征。

2.This technique is one of life's most useful and generalizable skills.

这是生命中最有用和最普遍的技能之一。

3.Results may not be generalizable.

结果可能不具有普遍性。

4.Moreover, to ensure more generalizable results, the time of the follow-up observation should be prolonged, and studies of large-scale samples with multi-variables should be conducted.

应尽可能延长追踪观察的时间，并进行大样本多变量研究，以保证研究结果的普遍性。

5.Design patterns are exemplary, generalizable solutions to specific classes of design problems.

设计模式是针对某类特定的设计问题，可供效仿的概括性解决方案。

6.Also, the findings were restricted to a Caucasian cohort and may not be generalizable to other ethnic cohorts.

同时，以上结果仅限于高加索人群，对其他种族的人群也许不能推广使用。

7.The mistake is to think that that theory of resistance is now generalizable as the cultural studies theory of resistance.

但若是把那一套抗争理论视为今日同样适用的抗争的文化研究理论，那是错误的。

8.This suggestion runs counter to the growing emphasis on large samples built on secondary data, data which is assumed somehow to be more valid and generalizable than carefully col-lected primary data.

这个建议与现在不断强调的，根据二手的数据建立的样本相反，这些二手数据都被假定为比精心搜集的第一手数据要更有效，更具概括性。

9.The results of this study are not easily generalizable to other populations.

这项研究的结果不容易普遍适用于其他人群。

10.We need to determine if the findings are generalizable across different contexts.

我们需要确定这些发现是否在不同的背景下是普遍适用的。

11.The researcher argued that their methodology was generalizable to various fields.

研究者认为他们的方法论可以普遍适用于多个领域。

12.In order for a theory to be generalizable, it must hold true in multiple scenarios.

为了使一个理论普遍适用，它必须在多个场景中成立。

13.The generalizable nature of the experiment allows for broader applications.

实验的普遍适用性使其可以更广泛地应用。

作文

In the realm of scientific research and data analysis, the concept of generalizable findings holds significant importance. When researchers conduct experiments or studies, they aim to uncover patterns and insights that can be applied beyond the immediate context of their work. For instance, if a study finds that a specific teaching method improves student performance in a particular school, the key question becomes whether these results are generalizable to other schools with different demographics and educational environments. This ability to apply findings to broader contexts is what makes research valuable and impactful.To illustrate this point further, consider a medical study that tests a new drug on a small group of participants. If the results show that the drug is effective in treating a specific condition, researchers must assess whether these results are generalizable to the larger population. Factors such as age, gender, ethnicity, and pre-existing health conditions can influence the drug's effectiveness. Therefore, conducting additional studies across diverse groups is essential to determine the generalizable nature of the findings.Moreover, the challenge of ensuring that research results are generalizable often leads to discussions about sample size and diversity. A study with a limited sample may yield results that are not applicable to the general population. For example, if a psychological study only includes college students, the findings may not be generalizable to older adults or individuals from different cultural backgrounds. Hence, researchers strive to include a wide range of participants to enhance the external validity of their studies.The implications of generalizable findings extend beyond academia into practical applications. In policy-making, for instance, lawmakers rely on research that presents generalizable evidence to formulate effective policies. If a program designed to reduce homelessness is successful in one city, policymakers need to evaluate whether the success can be replicated in other cities with varying economic conditions and social structures. This requires thorough analysis and consideration of local factors that may affect the program's outcomes.Additionally, the concept of generalizable results is crucial in business and marketing strategies. Companies often conduct market research to understand consumer behavior. If a survey indicates that a certain product appeals to a specific demographic, businesses must determine whether this appeal is generalizable to a broader audience. This understanding can guide product development and marketing campaigns, ensuring that resources are allocated effectively.In conclusion, the notion of generalizable findings is fundamental in various fields, including science, medicine, policy, and business. It emphasizes the importance of conducting rigorous research that not only yields significant results but also allows those results to be applied in diverse contexts. As researchers and practitioners continue to explore this concept, it remains essential to critically assess the limitations of studies and strive for inclusivity in sampling to enhance the generalizable nature of their findings. Ultimately, the goal is to produce knowledge that benefits society as a whole, transcending individual cases and contributing to a greater understanding of complex issues.

在科学研究和数据分析领域，普遍适用的发现概念具有重要意义。当研究人员进行实验或研究时，他们旨在揭示可以超越其工作直接背景的模式和见解。例如，如果一项研究发现特定的教学方法提高了某个学校学生的表现，那么关键问题是这些结果是否可以普遍适用于其他具有不同人口统计和教育环境的学校。这种将发现应用于更广泛背景的能力使得研究具有价值和影响力。进一步说明这一点，考虑一项医学研究，该研究在一小组参与者中测试一种新药。如果结果显示该药物在治疗特定疾病方面有效，研究人员必须评估这些结果是否对更大的人群普遍适用。年龄、性别、种族和既往健康状况等因素可能会影响药物的有效性。因此，进行针对不同群体的额外研究对于确定结果的普遍适用性至关重要。此外，确保研究结果普遍适用的挑战常常引发关于样本大小和多样性的讨论。样本有限的研究可能得出不适用于一般人群的结果。例如，如果一项心理学研究仅包括大学生，则研究结果可能无法普遍适用于老年人或来自不同文化背景的个人。因此，研究人员努力包括多样化的参与者，以增强其研究的外部有效性。普遍适用的发现的影响超越学术界，延伸到实际应用中。例如，在政策制定中，立法者依赖于提供普遍适用证据的研究来制定有效的政策。如果一个旨在减少无家可归者的项目在一个城市取得成功，政策制定者需要评估这种成功是否可以在经济条件和社会结构各异的其他城市中复制。这需要对可能影响项目结果的地方因素进行彻底分析和考虑。此外，普遍适用的结果概念在商业和市场策略中至关重要。公司经常进行市场研究以了解消费者行为。如果调查表明某种产品对特定人群有吸引力，企业必须确定这种吸引力是否对更广泛的受众普遍适用。这种理解可以指导产品开发和营销活动，确保资源得到有效配置。总之，普遍适用的发现概念在科学、医学、政策和商业等多个领域都是基础。它强调进行严格研究的重要性，这些研究不仅产生显著结果，还允许这些结果在不同背景下应用。随着研究人员和从业者继续探索这一概念，批判性评估研究的局限性并努力实现样本的包容性以增强其结果的普遍适用性仍然至关重要。最终，目标是产生有益于整个社会的知识，超越个别案例，为复杂问题的更大理解做出贡献。